traffic-prediction topic

Traffic prediction is the task of predicting future traffic measurements (e.g. volume, speed, etc.) in a road network (graph), using historical data (timeseries).

aprbw

Time-Series Work Summary in CS Top Conferences (NIPS, ICML, ICLR, KDD, AAAI, WWW, IJCAI, CIKM, ICDM, ICDE, etc.)

lixus7

LibCity: An Open Library for Urban Spatial-temporal Data Mining

LibCity

Paper list in traffic prediction field

LibCity

This project is a collection of recent research in areas such as new infrastructure and urban computing, including white papers, academic papers, AI lab and dataset etc.

Knowledge-Precipitation-Tribe

GMAN: A Graph Multi-Attention Network for Traffic Prediction (GMAN, https://fanxlxmu.github.io/publication/aaai2020/) was accepted by AAAI-2020.

zhengchuanpan

Traffic Graph Convolutional Recurrent Neural Network

zhiyongc

This repo includes introduction, code and dataset of our paper Deep Sequence Learning with Auxiliary Information for Traffic Prediction (KDD 2018).

JingqingZ

Summary of open source code for deep learning models in the field of traffic prediction

aptx1231

Traffic data processing tools in LibCity

LibCity